1.0라이브스마트https://atmokpo.com/wroothttps://atmokpo.com/w/author/root/Using Hugging Face Transformers, Tokenizing and Encoding - 라이브스마트rich600338<blockquote class="wp-embedded-content" data-secret="kqQrWxgqWI"><a href="https://atmokpo.com/w/36231/">Using Hugging Face Transformers, Tokenizing and Encoding</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://atmokpo.com/w/36231/embed/#?secret=kqQrWxgqWI" width="600" height="338" title="“Using Hugging Face Transformers, Tokenizing and Encoding” — 라이브스마트" data-secret="kqQrWxgqWI" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
/*! This file is auto-generated */
!function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document);
//# sourceURL=https://atmokpo.com/w/wp-includes/js/wp-embed.min.js
</script>
Deep learning and natural language processing have rapidly advanced in recent years, and during this process, the Hugging Face Transformer library has become one of the popular tools. In this course, we will deeply explain the concepts of tokenizing and encoding using the Hugging Face Transformer library, and learn how to implement these concepts in … 더 보기 ""